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The use of social media tools by companies is common, but the links between the use of multiple social media tools by companies and stock price changes are largely unknown. Therefore, this study aims to analyze the value-relevance of social media activities on Facebook (FB), Instagram (IG), LinkedIn (LI), Twitter (TW) and YouTube (YT).

Stock market data and hand-picked social media data in this study were collected from Finland, a small language area with consistent International Financial Reporting Standards (IFRS) reporting practices, in the expectation of better comparability and lower noise in the data.This study uses correlation, regression and factor analyses for a sample of 105 Finnish public limited companies listed on the Nasdaq Helsinki stock exchange.

This paper finds evidence that social media activity is an important area of analysis and that the activity and popularity of a company in social media are value-relevant variables in forecasting stock prices.

Not all social media activities are necessarily equally important for managers and investors. Focus on visual messages in social media is recommended.

The findings of this study highlight the value-relevance of using multiple visual social media channels, particularly IG and YT. This paper suggests avenues for future research and for analyzing social media information.

The United States (US) sugar program protects domestic sugar farmers from unrestricted imports of heavily-subsidized global sugar. Sugar-using firms (SUFs) criticize that program for causing US sugar prices to be higher than world sugar prices. This study examines the financial performance of publicly traded SUFs to determine if they are performing at an economic disadvantage in terms of accounting profitability, risk and economic profitability compared to other industries.

Firm-level financial accounting and market data from 2010 to 2019 were utilized to construct financial metrics for publicly traded SUFs, agribusinesses and general US firms. These financial metrics were analyzed to determine how SUFs compare to their agribusiness peer group and general US companies. The comprehensive financial analysis in this study covers: (1) accounting profit rates, (2) drivers of profitability, (3) economic profit rates, (4) trend analysis and (5) peer comparisons. Quantile regression analysis and Wilcoxon–Mann–Whitney statistics are employed for statistical comparisons.

Regarding various profitability and risk measures, SUFs outperform their agribusiness peers and the general benchmark of all US firms in terms of accounting profit rates, risk levels and economic profit rates. Furthermore, compared to other US industries using the 17 French and Fama classifications, SUFs have the highest return on investment and economic profit rate―measured by the Economic Value Added® margin―and the second-lowest opportunity cost of capital, measured by the weighted average cost of capital.

This study finds nothing to suggest that the US sugar program hinders the financial success of SUFs, contrary to recent claims by sugar-using firms. Notably in this analysis is the evaluation of economic profit rates and a series of robustness techniques.

The lean philosophy has demonstrated its effectiveness to improve firms' operational performance. However, the impact of lean practices on financial performance is still unclear due to the poor understanding of the link between operational and financial measures and the conflictive results obtained by previous research. The purpose of this paper is to conduct a systematic literature review to understand whether lean companies have improved their financial performance. Moreover, this article aims to uncover research gaps in the literature and examine which time spans of research have been considered to analyse both the degree of lean implementation and the measurement of financial outcomes.

A systematic literature review has been conducted to identify peer-reviewed articles that analyse the effect of the lean production paradigm on the financial performance measures of manufacturing companies. Then, the identified articles were processed using a combination of descriptive and content analyses methods to draw new conclusions, uncover gaps and find novel paths for research.

Various authors indicate that lean initiatives lead to an enhancement of financial performance measures. JIT and TQM lean practice bundles are suggested as the best enablers of financial performance in terms of sales and profit. In contrast, according to some scholars, lean does not necessarily improve companies' financial results if it is not properly implemented.

Several studies have focused on analysing the effects of lean on performance. However, only a small part of the literature has addressed the study of the effects of lean practices on financial performance metrics. The originality of this study lies in the investigation of the connections between lean practices and financial performance measures found in the literature. The outcome is the identification of various possible positive impacts of some lean practices on financial metrics.

The purpose of this paper is to investigate the perception of marketing managers in a transition country Montenegro with regards to marketing metrics. The paper examines the degree in which managers are familiar with the way marketing metrics are applied and how important they are in the process of making business decisions in a company operating in a Montenegro.

Data was collected during 2020 through a survey of 171 randomly selected companies and was analyzed using structural equation model and the statistical method of analysis of variance tests.

The obtained results show that managers are quite familiar with financial and non-financial metrics. Both groups are applied to a significant degree, as managers believe that these indicators provide valuable information needed during the decision-making process. Still, more emphasis is placed on the knowledge, implementation and importance of non-financial metrics compared to financial metrics. This is probably due to the specificities of the economic activities of the companies operating in Montenegro, as most of them are service companies, which is why non-financial metrics (such as consumer metrics) are the most important indicators when it comes to ascertaining the market position of the company. Additionally, in recent years the primary focus in Montenegro, as country that is still in the process of transformation from planned economy to a free-market form, has been placed on strengthening of competitiveness and advancing the market orientation of companies. This led to an increase in the importance that managers in transition countries attach to non-financial metrics.

The fact that the survey only covers companies from one country is its limitation.

The obtained results will have a significant empirical contribution, which is reflected in providing guidelines for managers on how to improve the system of measuring and controlling marketing performance, all that to strengthen the competitiveness of the company, and can serve managers of hierarchy levels in a company as guidelines for making decisions on the implementation of marketing strategy and marketing metrics, to improve business performance, multi-context customer interaction, cost-saving and strengthen competitiveness.

Obtaining necessary knowledge management and implementing marketing metrics are important conditions for consideration when it comes to the continuous monitoring and improvement of business results, increasing competitiveness and advancing the market position of the company.

The originality stems from the analysis of the interconnection that exists between marketing metrics and strategic decision-making, which is expected to be positively reflected in the development of society, i.e. strengthening the competitiveness of companies based on knowledge management achieved through the assessment of the degree of knowledge, the implementation and the significance of each of the metrics covered within this research in business decision-making processes. The paper provides insights into the extent to which managers understand the meaning of these indicators and are able to combine different marketing metrics to obtain more complex indicators, serving as necessary inputs when making strategic business decisions.

This paper aims to empirically assess the performance of Islamic banks (IBs) and conventional banks (CBs) in Qatar before and after the imposition of the economic blockade on Qatar and the significance of the blockade’s subsequent impact.

This study focuses only on the domestic commercial banks comprising four IBs and five CBs operating in Qatar. The banks’ financial reports are used as a secondary source to generate data. A study period from 2015 to 2019, separated into pre-blockade and post-blockade periods and comprising data on a semi-annual basis, was examined. Financial ratios and t-tests are used to compare bank performance and test the significance level of the blockade, respectively.

Generally, the findings show that IBs slightly outperformed CBs. Solvency ratios show strong capitalization (measured by capital adequacy ratio, CAR) and external fund (measured by equity multiplier ratio, EMR) reliance of the banks, despite minor fluctuations. Yet, only the CAR of CBs has been significantly affected by the blockade. Profitability (measured by return on assets, ROA and return on equity, ROE) of both bank groups grew unsteadily over the period, but IBs remained more efficient (measured by operating efficiency, OEOI) than CBs. Liquidity ratios indicate almost similar depositor fund utilization (measured by loans to deposit ratio, LDR) and credit offering (measured by loans to assets ratio, LAR) by the banks. All three metrics were weakly impacted. In terms of asset quality, bad loans (measured by non-performing loans ratio, NPL) and provisions (measured by loan loss provisions, LLP) surged moderately post-blockade. The blockade affected both groups’ asset quality.

To the author’s knowledge, this is the first study to comparatively examine the performance of Qatari IBs and CBs during the latest economic embargo and their exposure to the crisis.

The paper aims to provide empirical evidence of the impact of IFRS adoption on the value relevance of accounting information in the emerging market of Saudi Arabia.

The sample consists of 98 non-financial listed firms operating in Saudi Arabia from 2014 to 2019, representing the years before and after IFRS adoption. The authors apply basic and extended price models to examine the value relevance of select accounting figures.

The authors findings provide evidence that accounting information is, generally, value relevant to the Saudi Arabian capital market. However, mixed results exist for particular accounting variables. Both earnings and cash flows are value-relevant in the period before and after IFRS adoption; equity is only relevant in the post-adoption period. Furthermore, IFRS adoption also increases the explanatory power of earnings. An increase in the value relevance of earnings and equity hurts the value relevance of cash flows. The effects are moderated by leverage and dividend policy.

The authors contribute to the ongoing discussion of the economic effects of IFRS adoption in emerging markets. The empirical findings show that initial concerns about IFRS adoption, as reflected by the negative coefficient within the regression analysis, are mitigated once the usefulness of the individual accounting variables published in financial statements is investigated.

The present study seeks to shed further light on the effectiveness of Basu (1997) and Khan and Watts' (2009) differential timeliness metrics in detecting predictable differences in conservatism following corrections of restated earnings.

Using cross-sectional and time-series analyses for companies listed on the Tehran Stock Exchange during 2009–2013, the results indicate lower conservatism for restating firms as compared to their counterparts during prerestatement period.

Using cross-sectional and time-series analyses for companies listed on the Tehran Stock Exchange during 2009–2013, the results indicate lower conservatism for restating firms as compared to their counterparts during prerestatement period. In contrast, our findings are indicative of higher conservatism among these restating firms during the years of restatements. Moreover, the time-series approach captures a higher conservatism for the restating firms during restatement years than prerestatement periods. Overall, these results provide insight into the usefulness of the metrics used in the restatement setting.

Similar to recent papers, the present study seeks to shed further light on the ability of Basu-based coupled with Khan–Watts-based measures of conservatism to detect situations in which companies' earnings are known to be significantly restated.

Financial health of a corporation is a great concern for every investor level and decision-makers. For many years, financial solvency prediction is a significant issue throughout academia, precisely in finance. This requirement leads this study to check whether machine learning can be implemented in financial solvency prediction.

This study analyzed 244 Dhaka stock exchange public-listed companies over the 2015–2019 period, and two subsets of data are also developed as training and testing datasets. For machine learning model building, samples are classified as secure, healthy and insolvent by the Altman Z-score. R statistical software is used to make predictive models of five classifiers and all model performances are measured with different performance metrics such as logarithmic loss (logLoss), area under the curve (AUC), precision recall AUC (prAUC), accuracy, kappa, sensitivity and specificity.

This study found that the artificial neural network classifier has 88% accuracy and sensitivity rate; also, AUC for this model is 96%. However, the ensemble classifier outperforms all other models by considering logLoss and other metrics.

The major result of this study can be implicated to the financial institution for credit scoring, credit rating and loan classification, etc. And other companies can implement machine learning models to their enterprise resource planning software to trace their financial solvency.

Finally, a predictive application is developed through training a model with 1,200 observations and making it available for all rational and novice investors (Abdullah, 2020).

This study found that, with the best of author expertise, the author did not find any studies regarding machine learning research of financial solvency that examines a comparable number of a dataset, with all these models in Bangladesh.

This study aims to examine the economic consequences of the adoption of International Financial Reporting Standards (IFRS) in Saudi Arabia. More specifically, the study examines the impact of the mandatory adoption of IFRS on the accounting-based performance measures.

Data on study variables were obtained manually from the published financial statements of 67 of listed companies in the Saudi stock market during the period 2014–2019. The study addressed the research hypotheses by comparing the accounting-based performance measures computed under the Saudi accounting standards for three years (2014–2016) before the mandatory adoption of IFRS and the corresponding three years (2017–2019) after the mandatory adoption of IFRS. The Mann–Whitney U Test was used to investigate the significance of differences between the values of performance measures in the pre- and post-mandatory adoption periods.

The findings of the study revealed that there were no significant differences between the values of accounting-based performance measures related to the three performance categories (i.e. profitability, liquidity and leverage) in the post-mandatory adoption period (IFRS) compared to the values of these measures in the pre-mandatory adoption period (Saudi accounting standards).

The results of the study indicated that there is a good convergence between the Saudi accounting standards that were implemented before 2017 and the IFRS that began to be applied starting from 2017. This convergence resulted in a low significant impact of IFRS on the financial statements of companies and then on the accounting-based performance measures calculated from them. However, this study suffers from some limitations, the most important of which is the small sample size as a result of the small number of listed companies in the Saudi market during the study period.

Although the impact of the adoption of IFRS have always been a subject of intense research in developed countries, the study of the impact of the adoption of IFRS in developing countries still limited. This study contributes to the literature by examining the economic consequences of adopting IFRS in Saudi Arabia as one of developing countries.

The purpose of this article is to present the results of empirical research concerning the identification of the impact of the transfer of companies from the alternative market to the regulated market of the Warsaw Stock Exchange on their operating and net performance.

The study was conducted based on the empirical data of the companies that changed the listing place on the Warsaw Stock Exchange. Data regarding the years before the transfer were collected from the prospectuses of companies prepared mandatorily in connection with the transition to the regulated market. Data regarding the years of the event and subsequent years were obtained from companies' annual reports. As in other studies in the analysis, the operational metrics were used (operating return on sale, operating return on assets, total asset turnover), which was further extended to net profitability ratios (net return on ale, net return on asset, net return on equity). The significance analysis was based on the Student's t-test and Wilcoxon’s test.

The results show that before the transfer from the alternative market to the regulated market, companies improved financial performance. As a result of the change of listing venues, the results already collapsed in the year of the event. The downward trend continued in the following two years, with a noticeable improvement in the third year after the transfer.

The literature lacks such studies based on the Polish market. To the best knowledge of the author, this is one of the first studies in Poland showing the changes in operating and net performance of companies changing the stock listing venues. The research is based on a large group including all companies that have changed listing venues since the beginning of the alternative market in Poland. The article presents an original empirical result that can be used both by managers and investors in their decisions.